Deep Reinforcement Learning Enhanced Greedy Optimization for Online Scheduling of Batched Tasks in Cloud HPC Systems

In a large cloud data center HPC system, a critical problem is how to allocate the submitted tasks to heterogeneous servers that will achieve the goal of maximizing the system's gain defined as the value of completed tasks minus system operation costs. We consider this problem in the online set...

Ausführliche Beschreibung